November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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6.9 Instabilité
177
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6.9 INSTABILITÉ
Comme vous avez pu le voir, les arbres de décision ont beaucoup d’avantages: ils
sont simples à comprendre et à interpréter, faciles à utiliser, adaptables et puis-
sants. Cependant, ils présentent quelques limitations. Tout d’abord, comme vous
l’avez peut-être remarqué, les arbres de décision adorent les frontières de décision
orthogonales (tous les partages s’effectuent perpendiculairement à un axe) ce qui
les rend sensibles à la rotation du jeu d’entraînement. La figure 6.7 représente
par exemple un jeu de données linéairement séparable très simple: ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.